{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 通过量子神经网络对鸢尾花进行分类\n",
    "\n",
    "\n",
    "## 概述\n",
    "\n",
    "在之前的案例中，我们介绍了什么是变分量子线路，并通过一个简单的例子体验了如何搭建量子神经网络来解决一个小问题。在本文档中，我们将体验升级，将会介绍如何通过搭建量子神经网络来解决经典机器学习中的问题。我们选取的问题是：监督学习中的鸢尾花分类问题。\n",
    "\n",
    "问题描述：鸢尾花（iris）数据集是经典机器学习中常用的数据集，该数据集总共包含150个样本（分为3种不同的亚属：山鸢尾（setosa）、杂色鸢尾（versicolor）和维吉尼亚鸢尾（virginica），每个亚属各有50个样本），每个样本包含4个特征，分别为花萼长度（sepal length）、花萼宽度（sepal width）和花瓣长度（petal length）、花瓣宽度（petal width）。\n",
    "\n",
    "我们选取前100个样本（山鸢尾（setosa）和杂色鸢尾（versicolor）），并随机抽取80个样本作为训练集，通过搭建量子神经网络对量子分类器（Ansatz）进行训练，学习完成后，对剩余的20个样本进行分类测试，期望预测的准确率尽可能高。\n",
    "\n",
    "思路：我们需要将100个样本进行划分，分成80个训练样本和20个测试样本，根据训练样本的经典数据计算搭建Encoder所需的参数，然后，搭建Encoder，将训练样本的经典数据编码到量子态上，接着，搭建Ansatz，通过搭建的量子神经网络层和MindSpore的算子对Ansatz中的参数进行训练，进而得到最终的分类器，最后，对剩余的20个测试样本进行分类测试，得到预测的准确率。\n",
    "\n",
    "## 环境准备\n",
    "\n",
    "首先，我们需要导入鸢尾花的数据集，而在导入该数据集前，我们需要使用sklearn库中的datasets模块，因此读者需要检查是否安装了sklearn库，可执行如下代码进行安装。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# pylint: disable=W0104\n",
    "import sys\n",
    "import mindspore as ms\n",
    "\n",
    "path = '../'\n",
    "sys.path.append(path)                                        # 添加自主开发的量子模拟器代码所在路径\n",
    "ms.set_context(mode=ms.GRAPH_MODE, device_target=\"Ascend\")   # 使用静态图"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(150, 4)\n",
      "['sepal length (cm)', 'sepal width (cm)', 'petal length (cm)', 'petal width (cm)']\n",
      "['setosa' 'versicolor' 'virginica']\n",
      "[0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\n",
      " 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1\n",
      " 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2 2 2 2 2 2 2 2 2 2 2\n",
      " 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2\n",
      " 2 2]\n",
      "(150,)\n"
     ]
    }
   ],
   "source": [
    "import numpy as np                                        # 导入numpy库并简写为np\n",
    "from sklearn import datasets                              # 导入datasets模块，用于加载鸢尾花的数据集\n",
    "\n",
    "iris_dataset = datasets.load_iris()                       # 加载鸢尾花的数据集，并存在iris_dataset\n",
    "\n",
    "print(iris_dataset.data.shape)                            # 打印iris_dataset的样本的数据维度\n",
    "print(iris_dataset.feature_names)                         # 打印iris_dataset的样本的特征名称\n",
    "print(iris_dataset.target_names)                          # 打印iris_dataset的样本包含的亚属名称\n",
    "print(iris_dataset.target)                                # 打印iris_dataset的样本的标签的数组\n",
    "print(iris_dataset.target.shape)                          # 打印iris_dataset的样本的标签的数据维度"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(100, 4)\n",
      "['sepal length (cm)', 'sepal width (cm)', 'petal length (cm)', 'petal width (cm)']\n",
      "['setosa' 'versicolor']\n",
      "[0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\n",
      " 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1\n",
      " 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1]\n",
      "(100,)\n"
     ]
    }
   ],
   "source": [
    "X = iris_dataset.data[:100, :].astype(np.float32)         # 选取iris_dataset的data的前100个数据，将其数据类型转换为float32，并储存在X中\n",
    "X_feature_names = iris_dataset.feature_names              # 将iris_dataset的特征名称储存在X_feature_names中\n",
    "y = iris_dataset.target[:100].astype(int)                 # 选取iris_dataset的target的前100个数据，将其数据类型转换为int，并储存在y中\n",
    "y_target_names = iris_dataset.target_names[:2]            # 选取iris_dataset的target_names的前2个数据，并储存在y_target_names中\n",
    "\n",
    "print(X.shape)                                            # 打印样本的数据维度\n",
    "print(X_feature_names)                                    # 打印样本的特征名称\n",
    "print(y_target_names)                                     # 打印样本包含的亚属名称\n",
    "print(y)                                                  # 打印样本的标签的数组\n",
    "print(y.shape)                                            # 打印样本的标签的数据维度"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1656x1656 with 16 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt                                                           # 导入matplotlib.pyplot模块并简写为plt\n",
    "\n",
    "feature_name = {0: 'sepal length', 1: 'sepal width', 2: 'petal length', 3: 'petal width'} # 将不同的特征名称分别标记为0,1,2,3\n",
    "axes = plt.figure(figsize=(23, 23)).subplots(4, 4)                                        # 画出一个大小为23*23的图，包含4*4=16个子图\n",
    "\n",
    "colormap = {0: 'r', 1: 'g'}                                                               # 将标签为0的样本设为红色，标签为1的样本设为绿色\n",
    "cvalue = [colormap[i] for i in y]                                                         # 将100个样本对应的标签设置相应的颜色\n",
    "\n",
    "for i in range(4):\n",
    "    for j in range(4):\n",
    "        if i != j:\n",
    "            ax = axes[i][j]                                                               # 在[i][j]的子图上开始画图\n",
    "            ax.scatter(X[:, i], X[:, j], c=cvalue)                                        # 画出第[i]个特征和第[j]个特征组成的散点图\n",
    "            ax.set_xlabel(feature_name[i], fontsize=18)                                   # 设置X轴的名称为第[i]个特征名称，字体大小为22\n",
    "            ax.set_ylabel(feature_name[j], fontsize=18)                                   # 设置Y轴的名称为第[j]个特征名称，字体大小为22\n",
    "plt.show()                                                                                # 渲染图像，即呈现图像"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "scrolled": true,
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(100, 7)\n"
     ]
    }
   ],
   "source": [
    "alpha = X[:, :3] * X[:, 1:]           # 每一个样本中，利用相邻两个特征值计算出一个参数，即每一个样本会多出3个参数（因为有4个特征值），并储存在alpha中\n",
    "X = np.append(X, alpha, axis=1)       # 在axis=1的维度上，将alpha的数据值添加到X的特征值中\n",
    "\n",
    "print(X.shape)                        # 打印此时X的样本的数据维度"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(80, 7)\n",
      "(20, 7)\n"
     ]
    }
   ],
   "source": [
    "from sklearn.model_selection import train_test_split                                                   # 导入train_test_split函数，用于对数据集进行划分\n",
    "\n",
    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=0, shuffle=True) # 将数据集划分为训练集和测试集\n",
    "\n",
    "print(X_train.shape)                                                                                   # 打印训练集中样本的数据类型\n",
    "print(X_test.shape)                                                                                    # 打印测试集中样本的数据类型"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([ 5.        ,  3.5       ,  1.6       ,  0.6       , 17.5       ,\n",
       "        5.6       ,  0.96000004], dtype=float32)"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X_train[0]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "从上述打印可以看到，此时的训练集有80个样本，测试集有20个样本，每个样本均有7个特征。\n",
    "\n",
    "说明：\n",
    "\n",
    "（1）append主要用于为原始数组添加一些值，一般格式如下：np.append(arr, values, axis=None)，arr是需要被添加值的数组，values就是添加到数组arr中的值，axis表示沿着哪个方向；\n",
    "\n",
    "（2）shuffle=True表示将数据集打乱，每次都会以不同的顺序返回， shuffle就是为了避免数据投入的顺序对网络训练造成影响。增加随机性，提高网络的泛化性能，避免因为有规律的数据出现，导致权重更新时的梯度过于极端，避免最终模型过拟合或欠拟合。\n",
    "\n",
    "（3）train_test_split是交叉验证中常用的函数，主要用于是从样本中随机地按比例选取训练数据集和测试数据集，一般格式如下：\n",
    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size, random_state, shuffle=True)，其中test_size表示测试样本的比例，random_state表示产生随机数的种子，shuffle=True表示将数据集打乱。\n",
    "\n",
    "## 搭建Encoder\n",
    "\n",
    "根据图示的量子线路图，我们可以在QuSmoke中搭建Encoder，将经典数据编码到量子态上。\n",
    "\n",
    "![encoder classification of iris by qnn](https://mindspore-website.obs.cn-north-4.myhuaweicloud.com/website-images/r2.0.0-alpha/docs/mindquantum/docs/source_zh_cn/images/encoder_classification_of_iris_by_qnn.png)\n",
    "\n",
    "在这里，我们采用的编码方式是IQP编码（Instantaneous Quantum Polynomial encoding），一般来说Encoder的编码方式不固定，可根据问题需要选择不同的编码方式，有时也会根据最后的性能对Encoder进行调整。\n",
    "\n",
    "Encoder中的参数$\\alpha_0,\\alpha_1,...,\\alpha_6$​​的值，就是用上述数据预处理中得到的7个特征值代入。​"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "=================================Circuit Summary=================================\n",
      "|Total number of gates  : 17.                                                   |\n",
      "|Parameter gates        : 7.                                                    |\n",
      "|with 7 parameters are  :                                                       |\n",
      "|alpha0, alpha1, alpha2, alpha3, alpha4, alpha5, alpha6                        .|\n",
      "|Number qubit of circuit: 4                                                     |\n",
      "=================================================================================\n"
     ]
    }
   ],
   "source": [
    "# pylint: disable=W0104\n",
    "from qusmoke.circuit import Circuit                  # 导入Circuit模块，用于搭建量子线路\n",
    "from qusmoke.circuit import UN                       # 导入UN模块\n",
    "from qusmoke.gates import H, X, RZ                   # 导入量子门H, X, RZ\n",
    "\n",
    "encoder = Circuit()                                  # 初始化量子线路\n",
    "encoder += UN(H, 4)                                  # H门作用在每1位量子比特\n",
    "for i in range(4):                                   # i = 0, 1, 2, 3\n",
    "    encoder += RZ(f'alpha{i}').on(i)                 # RZ(alpha_i)门作用在第i位量子比特\n",
    "for j in range(3):                                   # j = 0, 1, 2\n",
    "    # 不支持 X.on(j+1, j)\n",
    "    encoder += X(j+1, j)                             # X门作用在第j+1位量子比特，受第j位量子比特控制\n",
    "    encoder += RZ(f'alpha{j+4}').on(j+1)             # RZ(alpha_{j+4})门作用在第0位量子比特\n",
    "    encoder += X(j+1, j)                             # X门作用在第j+1位量子比特，受第j位量子比特控制\n",
    "\n",
    "encoder = encoder.no_grad()                          # Encoder作为整个量子神经网络的第一层，不用对编码线路中的梯度求导数，因此加入no_grad()\n",
    "encoder.summary()                                    # 总结Encoder"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "从对Encoder的Summary中可以看到，该量子线路由17个量子门组成，其中有7个含参量子门且参数为$\\alpha_0,\\alpha_1,...,\\alpha_6$，该量子线路调控的量子比特数为4。\n",
    "\n",
    "说明：\n",
    "\n",
    "UN模块用于将量子门映射到不同的目标量子比特和控制量子比特，一般格式如下：`qusmoke.UN(gate, obj_qubits)`，括号中的`gate`是我们需要执行的量子门，`obj_qubits`是需要执行该量子门的目标量子比特。若每个量子比特位执行同一个非参数量子门，则可以直接写出UN(gate, N)，N表示量子比特个数。\n",
    "\n",
    "## 搭建Ansatz\n",
    "\n",
    "根据图示的量子线路图，我们可以在QuSmoke中搭建Ansatz。\n",
    "\n",
    "![ansatz classification of iris by qnn](https://mindspore-website.obs.cn-north-4.myhuaweicloud.com/website-images/master/docs/mindquantum/docs/source_zh_cn/images/ansatz_classification_of_iris_by_qnn.png)\n",
    "\n",
    "与Encoder一样，Ansatz的编码方式也不固定，我们可以尝试不同的编码方式来测试最后的结果。\n",
    "\n",
    "在这里，我们采用的是`hardware_efficient_ansatz`，即上述量子线路图所示的编码方式。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "===================================================Circuit Summary===================================================\n",
      "|Total number of gates  : 25.                                                                                       |\n",
      "|Parameter gates        : 16.                                                                                       |\n",
      "|with 16 parameters are :                                                                                           |\n",
      "|_param_, _param_, _param_, _param_, _param_, _param_, _param_, _param_, _param_, _param_..                        .|\n",
      "|Number qubit of circuit: 4                                                                                         |\n",
      "=====================================================================================================================\n"
     ]
    }
   ],
   "source": [
    "# pylint: disable=W0104\n",
    "from qusmoke.nisq import hardware_efficent_ansatz            # 导入HardwareEfficientAnsatz\n",
    "from qusmoke.gates import RY                                 # 导入量子门RY\n",
    "\n",
    "ansatz = hardware_efficent_ansatz(4, single_rot_gate_seq=[RY], entangle_gate=X, depth=3)\n",
    "ansatz.summary()                                             # 总结Ansatz"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "从对Ansatz的Summary中可以看到，该量子线路由25个量子门组成，其中有16个含参量子门且参数为d2_n3_0, d1_n1_0, d0_n2_0, d1_n0_0, d3_n2_0, d2_n2_0, d0_n1_0, d3_n1_0, d2_n0_0, d3_n0_0...，该量子线路调控的量子比特数为4。\n",
    "\n",
    "说明：\n",
    "\n",
    "`hardware_efficient_ansatz`是一种容易在量子芯片上实现的Ansatz，其量子线路图由红色虚线框内的量子门组成，一般格式如下：`hardware_efficient_ansatz(n_qubits, single_rot_gate_seq, entangle_gate=X, depth=1)`，括号中的`n_qubits`表示ansatz需要作用的量子比特总数，`single_rot_gate_seq`表示一开始每一位量子比特执行的参数门，同时后面需要执行的参数门也固定了，只是参数不同，`entangle_gate=X`表示执行的纠缠门为`X`，`depth`表示黑色虚线框内的量子门需要重复的次数。\n",
    "\n",
    "那么完整的量子线路就是Encoder加上Ansatz。这里我们调用量子线路的`as_encoder`将量子线路中的所有参数设置为编码参数，调用`as_ansatz`将量子线路中的所有参数设置为待训练参数。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "================================================Circuit Summary================================================\n",
      "|Total number of gates  : 42.                                                                                 |\n",
      "|Parameter gates        : 23.                                                                                 |\n",
      "|with 23 parameters are :                                                                                     |\n",
      "|alpha0, alpha1, alpha2, alpha3, alpha4, alpha5, alpha6, _param_, _param_, _param_..                        . |\n",
      "|Number qubit of circuit: 4                                                                                   |\n",
      "===============================================================================================================\n"
     ]
    }
   ],
   "source": [
    "# pylint: disable=W0104\n",
    "circuit = encoder.as_encoder() + ansatz.as_ansatz()            # 完整的量子线路由Encoder和Ansatz组成\n",
    "circuit.summary()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "从对完整的量子线路的Summary中可以看到，该量子线路由42个量子门组成，其中有23个含参量子门且参数为$\\alpha_0,\\alpha_1,...,\\alpha_6$和d2_n3_0, d1_n1_0, d0_n2_0, d1_n0_0, d3_n2_0, d2_n2_0, d0_n1_0, d3_n1_0, d2_n0_0, d3_n0_0...，该量子线路调控的量子比特数为4。\n",
    "\n",
    "## 构建哈密顿量\n",
    "\n",
    "构建对应的哈密顿量，其中哈密顿量采用字典表示。这里对第2位和第3位量子比特执行泡利Z算符测量，且将系数都设为1。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "# pylint: disable=W0104\n",
    "from qusmoke.expect import Expectation\n",
    "\n",
    "ham = {\"Z2\": 1.0, \"Z3\": 1.0}     # 哈密顿量\n",
    "expe_fn = Expectation(ham)       # 计算期望的函数"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 优化器和损失函数\n",
    "\n",
    "使用 `Adam` 优化器，交叉熵损失函数。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [],
   "source": [
    "# pylint: disable=W0104\n",
    "from mindspore.nn import SoftmaxCrossEntropyWithLogits                         # 导入SoftmaxCrossEntropyWithLogits模块，用于定义损失函数\n",
    "from mindspore.nn import Adam\n",
    "\n",
    "optimizer = Adam(circuit.trainable_params(), learning_rate=0.05)\n",
    "loss_fn = SoftmaxCrossEntropyWithLogits(sparse=True, reduction='mean')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 使用函数式自动微分"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [],
   "source": [
    "# pylint: disable=W0104\n",
    "def forward_fn(label):\n",
    "    n_qubit, qs = circuit()\n",
    "    prob = expe_fn((n_qubit, qs))\n",
    "    loss = loss_fn(prob, label)\n",
    "    return loss, prob\n",
    "\n",
    "grad_fn = ms.value_and_grad(forward_fn, None, optimizer.parameters, has_aux=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 训练\n",
    "\n",
    "为了让模型支持静态图，训练时对编码线路调用 `circuit.set_encoder_value(data)` 进行编码数据赋值。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[Epoch = 0], loss = 0.5305\n",
      "[Epoch = 1], loss = 0.4861\n",
      "[Epoch = 2], loss = 0.4354\n",
      "[Epoch = 3], loss = 0.3485\n",
      "[Epoch = 4], loss = 0.3433\n",
      "[Epoch = 5], loss = 0.3430\n",
      "[Epoch = 6], loss = 0.3427\n",
      "[Epoch = 7], loss = 0.3424\n",
      "[Epoch = 8], loss = 0.3420\n",
      "[Epoch = 9], loss = 0.3418\n"
     ]
    }
   ],
   "source": [
    "from mindspore import Tensor\n",
    "from qusmoke.define import DTYPE\n",
    "\n",
    "n_epoch = 10\n",
    "loss_record = []\n",
    "for e in range(n_epoch):\n",
    "    loss = 0.0\n",
    "    for x, y in zip(X_train, y_train):\n",
    "        data = Tensor(x, DTYPE)\n",
    "        label = Tensor(y, ms.int32).reshape((1))\n",
    "        circuit.set_encoder_value(data)\n",
    "        (los, prob), grads = grad_fn(label)\n",
    "        optimizer(grads)\n",
    "        loss += los.numpy()\n",
    "    loss = loss / len(X_train)\n",
    "    print(f\"[Epoch = {e}], loss = {loss:.4f}\")\n",
    "    loss_record.append(loss)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 可视化损失"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(loss_record, 'g-o')\n",
    "plt.title('Statistics of accuracy', fontsize=20)\n",
    "plt.xlabel('Epoch', fontsize=20)\n",
    "plt.ylabel('loss', fontsize=20)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 在验证集验证模型效果"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Predict: [0 1 0 1 1 1 0 1 1 1]\n",
      "Label:   [0 1 0 1 1 1 0 1 1 1]\n",
      "Test dataset ACC: 1.0\n"
     ]
    }
   ],
   "source": [
    "# Get the test.\n",
    "\n",
    "correct = 0\n",
    "pred = []\n",
    "\n",
    "for xx, yy in zip(X_test, y_test):\n",
    "    data = Tensor(xx, DTYPE)\n",
    "    label = Tensor([yy], ms.int32)\n",
    "    circuit.set_encoder_value(data)\n",
    "    (loss, prob), grads = grad_fn(label)\n",
    "    ypred = np.argmax(prob[0].numpy())\n",
    "    pred.append(ypred)\n",
    "\n",
    "pred = np.array(pred)\n",
    "print(f\"Predict: {pred[:10]}\")\n",
    "print(f\"Label:   {y_test[:10]}\")\n",
    "\n",
    "print(\"Test dataset ACC:\", (pred == y_test).sum() / len(X_test))"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "MindSpore",
   "language": "python",
   "name": "mindspore"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.10"
  },
  "vscode": {
   "interpreter": {
    "hash": "d62cf896b9ca57de08105ce3983377439eacacf6f6599f9150bf400edf4fa4b8"
   }
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}
